Constructing a fall risk prediction model for hospitalized patients using machine learning

Constructing a fall risk prediction model for hospitalized patients using machine learning

Abstract Study objectives This study aimed to identify the risk factors associated with falls in hospitalized patients, develop a predictive risk model using machine learning algorithms, and evaluate the validity of the model’s predictions. Study design A cross-sectional design was employed using da...

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Bibliographic Details
Main Authors: Cheng-Wei Kang, Zhao-Kui Yan, Jia-Liang Tian, Xiao-Bing Pu, Li-Xue Wu
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Public Health
Subjects:
Accidental falls
Hospitalized patients
Risk factors
Machine learning
Predictive modeling
Model interpretation
Online Access:https://doi.org/10.1186/s12889-025-21284-8
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https://doi.org/10.1186/s12889-025-21284-8

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